'''simple docstring'''






import unittest

from transformers import BertGenerationTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


_UpperCAmelCase    :     int         =       '''▁'''

_UpperCAmelCase    :     List[str]         =       get_tests_dir('''fixtures/test_sentencepiece.model''')







@require_sentencepiece
class lowercase_       (		_UpperCamelCase    ,    unittest.TestCase			):







   """simple docstring"""

   __lowerCAmelCase         =   BertGenerationTokenizer
   __lowerCAmelCase         =   False
   __lowerCAmelCase         =   True
   def 	__UpperCAmelCase   (      self      :			Union[str, Any]     )  ->			Union[str, Any]:
        super().setUp()

        _A    		=  BertGenerationTokenizer(UpperCamelCase__, keep_accents=UpperCamelCase__     )
        tokenizer.save_pretrained(self.tmpdirname     )
   def 	__UpperCAmelCase   (      self      :			Any     )  ->			str:
        _A    		=  '<s>'
        _A    		=  1

        self.assertEqual(self.get_tokenizer()._convert_token_to_id(UpperCamelCase__     ), UpperCamelCase__     )
        self.assertEqual(self.get_tokenizer()._convert_id_to_token(UpperCamelCase__     ), UpperCamelCase__     )
   def 	__UpperCAmelCase   (      self      :			List[Any]     )  ->			int:
        _A    		=  list(self.get_tokenizer().get_vocab().keys()     )

        self.assertEqual(vocab_keys[0], '<unk>'     )
        self.assertEqual(vocab_keys[1], '<s>'     )
        self.assertEqual(vocab_keys[-1], '<pad>'     )
        self.assertEqual(len(UpperCamelCase__     ), 10_02     )
   def 	__UpperCAmelCase   (      self      :			int     )  ->			Dict:
        self.assertEqual(self.get_tokenizer().vocab_size, 10_00     )
   def 	__UpperCAmelCase   (      self      :			List[Any]     )  ->			List[Any]:
        _A    		=  BertGenerationTokenizer(UpperCamelCase__, keep_accents=UpperCamelCase__     )

        _A    		=  tokenizer.tokenize('This is a test'     )
        self.assertListEqual(UpperCamelCase__, ['▁This', '▁is', '▁a', '▁t', 'est']     )

        self.assertListEqual(
            tokenizer.convert_tokens_to_ids(UpperCamelCase__     ), [2_85, 46, 10, 1_70, 3_82], )

        _A    		=  tokenizer.tokenize('I was born in 92000, and this is falsé.'     )
        self.assertListEqual(
            UpperCamelCase__, [
                SPIECE_UNDERLINE + 'I',
                SPIECE_UNDERLINE + 'was',
                SPIECE_UNDERLINE + 'b',
                'or',
                'n',
                SPIECE_UNDERLINE + 'in',
                SPIECE_UNDERLINE + '',
                '9',
                '2',
                '0',
                '0',
                '0',
                ',',
                SPIECE_UNDERLINE + 'and',
                SPIECE_UNDERLINE + 'this',
                SPIECE_UNDERLINE + 'is',
                SPIECE_UNDERLINE + 'f',
                'al',
                's',
                'é',
                '.',
            ], )
        _A    		=  tokenizer.convert_tokens_to_ids(UpperCamelCase__     )
        self.assertListEqual(
            UpperCamelCase__, [8, 21, 84, 55, 24, 19, 7, 0, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, 0, 4], )

        _A    		=  tokenizer.convert_ids_to_tokens(UpperCamelCase__     )
        self.assertListEqual(
            UpperCamelCase__, [
                SPIECE_UNDERLINE + 'I',
                SPIECE_UNDERLINE + 'was',
                SPIECE_UNDERLINE + 'b',
                'or',
                'n',
                SPIECE_UNDERLINE + 'in',
                SPIECE_UNDERLINE + '',
                '<unk>',
                '2',
                '0',
                '0',
                '0',
                ',',
                SPIECE_UNDERLINE + 'and',
                SPIECE_UNDERLINE + 'this',
                SPIECE_UNDERLINE + 'is',
                SPIECE_UNDERLINE + 'f',
                'al',
                's',
                '<unk>',
                '.',
            ], )
   @cached_property
   def 	__UpperCAmelCase   (      self      :			Any     )  ->			str:
        return BertGenerationTokenizer.from_pretrained('google/bert_for_seq_generation_L-24_bbc_encoder'     )
   @slow
   def 	__UpperCAmelCase   (      self      :			str     )  ->			Optional[int]:
        _A    		=  'Hello World!'
        _A    		=  [1_85_36, 22_60, 1_01]

        self.assertListEqual(UpperCamelCase__, self.big_tokenizer.encode(UpperCamelCase__     )     )
   @slow
   def 	__UpperCAmelCase   (      self      :			List[Any]     )  ->			Tuple:
        _A    		=  (
            'This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) " [ ] ! : - . Also we will'
            ' add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth'
        )
        _A    		=  [
            8_71,
            4_19,
            3_58,
            9_46,
            9_91,
            25_21,
            4_52,
            3_58,
            13_57,
            3_87,
            77_51,
            35_36,
            1_12,
            9_85,
            4_56,
            1_26,
            8_65,
            9_38,
            54_00,
            57_34,
            4_58,
            13_68,
            4_67,
            7_86,
            24_62,
            52_46,
            11_59,
            6_33,
            8_65,
            45_19,
            4_57,
            5_82,
            8_52,
            25_57,
            4_27,
            9_16,
            5_08,
            4_05,
            3_43_24,
            4_97,
            3_91,
            4_08,
            1_13_42,
            12_44,
            3_85,
            1_00,
            9_38,
            9_85,
            4_56,
            5_74,
            3_62,
            1_25_97,
            32_00,
            31_29,
            11_72,
        ]

        self.assertListEqual(UpperCamelCase__, self.big_tokenizer.encode(UpperCamelCase__     )     )
   @require_torch
   @slow
   def 	__UpperCAmelCase   (      self      :			Optional[int]     )  ->			Union[str, Any]:
        import torch

        from transformers import BertGenerationConfig, BertGenerationEncoder

        # Build sequence
        _A    		=  list(self.big_tokenizer.get_vocab().keys()     )[:10]
        _A    		=  ' '.join(UpperCamelCase__     )
        _A    		=  self.big_tokenizer.encode_plus(UpperCamelCase__, return_tensors='pt', return_token_type_ids=UpperCamelCase__     )
        _A    		=  self.big_tokenizer.batch_encode_plus(
            [sequence + ' ' + sequence], return_tensors='pt', return_token_type_ids=UpperCamelCase__     )

        _A    		=  BertGenerationConfig()
        _A    		=  BertGenerationEncoder(UpperCamelCase__     )

        assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

        with torch.no_grad():
             model(**UpperCamelCase__     )
             model(**UpperCamelCase__     )

   @slow
   def 	__UpperCAmelCase   (      self      :			Tuple     )  ->			int:
        # fmt: off
        _A    		=  {'input_ids': [[3_92_86, 4_58, 3_63_35, 20_01, 4_56, 1_30_73, 1_32_66, 4_55, 1_13, 77_46, 17_41, 1_11_57, 3_91, 1_30_73, 1_32_66, 4_55, 1_13, 39_67, 3_54_12, 1_13, 49_36, 1_09, 38_70, 23_77, 1_13, 3_00_84, 4_57_20, 4_58, 1_34, 1_74_96, 1_12, 5_03, 1_16_72, 1_13, 1_18, 1_12, 56_65, 1_33_47, 3_86_87, 1_12, 14_96, 3_13_89, 1_12, 32_68, 4_72_64, 1_34, 9_62, 1_12, 1_63_77, 80_35, 2_31_30, 4_30, 1_21_69, 1_55_18, 2_85_92, 4_58, 1_46, 4_16_97, 1_09, 3_91, 1_21_69, 1_55_18, 1_66_89, 4_58, 1_46, 4_13_58, 1_09, 4_52, 7_26, 40_34, 1_11, 7_63, 3_54_12, 50_82, 3_88, 19_03, 1_11, 90_51, 3_91, 28_70, 4_89_18, 19_00, 11_23, 5_50, 9_98, 1_12, 95_86, 1_59_85, 4_55, 3_91, 4_10, 2_29_55, 3_76_36, 1_14], [4_48, 1_74_96, 4_19, 36_63, 3_85, 7_63, 1_13, 2_75_33, 28_70, 32_83, 1_30_43, 16_39, 2_47_13, 5_23, 6_56, 2_40_13, 1_85_50, 25_21, 5_17, 2_70_14, 2_12_44, 4_20, 12_12, 14_65, 3_91, 9_27, 48_33, 3_88, 5_78, 1_17_86, 1_14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [4_84, 21_69, 76_87, 2_19_32, 1_81_46, 7_26, 3_63, 1_70_32, 33_91, 1_14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], 'attention_mask': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
        # fmt: on

        self.tokenizer_integration_test_util(
            expected_encoding=UpperCamelCase__, model_name='google/bert_for_seq_generation_L-24_bbc_encoder', revision='c817d1fd1be2ffa69431227a1fe320544943d4db', )










'''simple docstring'''






import random
from typing import Any






def   __A    (				a_    :	list						):
		for _ in range(len(a_						)						):
				lowerCAmelCase  :     List[Any]       						= random.randint(0   ,len(a_						) - 1						)
				lowerCAmelCase  :     Tuple       						= random.randint(0   ,len(a_						) - 1						)
				lowerCAmelCase						,		lowerCAmelCase  :     Optional[Any]       						= data[b], data[a]
		return data


if __name__ == "__main__":
					lowerCAmelCase									=   [0, 1, 2, 3, 4, 5, 6, 7]
					lowerCAmelCase									=   ["""python""", """says""", """hello""", """!"""]
					print("""Fisher-Yates Shuffle:""")
					print("""List""", integers, strings)
					print("""FY Shuffle""", fisher_yates_shuffle(integers), fisher_yates_shuffle(strings))



